ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques for MLMS and directly estimates a variety of quantities of interest that require post-estimation methods in the non-Bayesian framework. Topics covered will be the hierarchical linear model, as well as a models with limited dependent variables, summarizing results, in and out of sample predictions, and measures of model fit. No prior knowledge of Bayesian modeling is required, but will be beneficial.

Fee: Members = $1500; Non-members = $3000

Instructor: Ryan Bakker, University of Georgia

For registration details, please visit the ICPSR Summer Program website.

Please Note: The ICPSR Summer Program takes the health and safety of our instructors, participants, and staff very seriously. We are closely monitoring COVID-19 updates and developments across the United States and around the world. Based on the advice of the Centers for Disease Control and Prevention to avoid close contact with others and assess the risks and necessity of travel, the ICPSR Summer Program has reached out to the instructor for this workshop and they will be offering this workshop remotely/virtually. This workshop will not be held on the campus of UNC Chapel Hill.